Pandas Profiling Report

Dataset statistics

Number of variables	16
Number of observations	19845
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	1
Duplicate rows (%)	< 0.1%
Total size in memory	2.5 MiB
Average record size in memory	132.0 B

Variable types

NUM	7
CAT	7
DATE	2

Warnings

Dataset has 1 (< 0.1%) duplicate rows	Duplicates
`Id.Escala` has a high cardinality: 17547 distinct values	High cardinality
`Buque` has a high cardinality: 1703 distinct values	High cardinality
`buque_def` is highly correlated with `Tipo Buque`	High correlation
`Tipo Buque` is highly correlated with `buque_def`	High correlation
`Muelle Atraque Real` is highly correlated with `terminal`	High correlation
`terminal` is highly correlated with `Muelle Atraque Real`	High correlation
`Id.Escala` is uniformly distributed	Uniform

Reproduction

Analysis started	2020-10-22 08:47:57.199277
Analysis finished	2020-10-22 08:48:16.346787
Duration	19.15 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

Año Servicio
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	155.0 KiB

2017	6818
2018	6626
2019	6401

Frequencies
Length

Value	Count	Frequency (%)
2017	6818	34.4%
2018	6626	33.4%
2019	6401	32.3%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Id.Escala
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	17547
Distinct (%)	88.4%
Missing	0
Missing (%)	0.0%
Memory size	155.0 KiB

1 2018 2676	4
1 2019 130	3
1 2019 134	3
1 2017 6741	3
1 2018 5574	3
Other values (17542)	19829

Frequencies
Length

Common Values
Overview

Value	Count	Frequency (%)
1 2018 2676	4	< 0.1%
1 2019 130	3	< 0.1%
1 2019 134	3	< 0.1%
1 2017 6741	3	< 0.1%
1 2018 5574	3	< 0.1%
1 2018 1902	3	< 0.1%
1 2017 2424	3	< 0.1%
1 2018 935	3	< 0.1%
1 2017 3904	3	< 0.1%
1 2018 1666	3	< 0.1%
Other values (17537)	19814	99.8%

Frequencies of value counts

Unique

Unique	15278 ?
Unique (%)	77.0%

Histogram of lengths of the category

Length

Max length	21
Median length	21
Mean length	21
Min length	21

Clave Lloyd o Num. OMI
Real number (ℝ_≥0)

Distinct	1644
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9290157.713
Minimum	5142657
Maximum	9842097
Zeros	0
Zeros (%)	0.0%
Memory size	77.5 KiB

Quantile statistics

Minimum	5142657
5-th percentile	9004231
Q1	9214202
median	9323637
Q3	9458523
95-th percentile	9673630
Maximum	9842097
Range	4699440
Interquartile range (IQR)	244321

Descriptive statistics

Standard deviation	324143.2868
Coefficient of variation (CV)	0.03489104241
Kurtosis	17.36700963
Mean	9290157.713
Median Absolute Deviation (MAD)	128082
Skewness	-3.381161977
Sum	-320413906
Variance	1.050688704e+11
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9498743	828	4.2%
9458523	807	4.1%
9263370	756	3.8%
7827225	405	2.0%
9134139	400	2.0%
9204362	378	1.9%
9243423	363	1.8%
9441130	267	1.3%
9143790	251	1.3%
9465538	214	1.1%
Other values (1634)	15176	76.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5142657	3	< 0.1%
5383304	1	< 0.1%
6602898	1	< 0.1%
7225910	3	< 0.1%
7356252	1	< 0.1%

Value	Count	Frequency (%)
9842097	1	< 0.1%
9842085	1	< 0.1%
9842061	2	< 0.1%
9830599	1	< 0.1%
9829722	1	< 0.1%

Buque
Categorical

HIGH CARDINALITY

Distinct	1703
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Memory size	155.0 KiB

FORZA	807
CIUDAD DE IBIZA	756
VISEMAR ONE	532
REGINA BALTICA	405
SVEN	400
Other values (1698)	16945

Frequencies
Length

Common Values
Overview

Value	Count	Frequency (%)
FORZA	807	4.1%
CIUDAD DE IBIZA	756	3.8%
VISEMAR ONE	532	2.7%
REGINA BALTICA	405	2.0%
SVEN	400	2.0%
SUPER FAST LEVANTE	378	1.9%
NAPOLES	363	1.8%
HEDY LAMARR	296	1.5%
ABEL MATUTES	267	1.3%
YAKOOT	251	1.3%
Other values (1693)	15390	77.6%

Frequencies of value counts

Unique

Unique	622 ?
Unique (%)	3.1%

Histogram of lengths of the category

Length

Max length	20
Median length	20
Mean length	20
Min length	20

Tipo Buque
Categorical

HIGH CORRELATION

Distinct	25
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	155.0 KiB

PORTACONTENEDOR	10908
FERRYS RO/RO PASAJEROS	4340
RO/RO VEHÍCULO	1449
POLIV. GENERAL CONTENEDOR	727
RO/RO CARGA GENERAL	665
Other values (20)	1756

Frequencies
Length

Common Values
Overview

Value	Count	Frequency (%)
PORTACONTENEDOR	10908	55.0%
FERRYS RO/RO PASAJEROS	4340	21.9%
RO/RO VEHÍCULO	1449	7.3%
POLIV. GENERAL CONTENEDOR	727	3.7%
RO/RO CARGA GENERAL	665	3.4%
CRUCERO TURÍSTICO	598	3.0%
RO/RO LO/LO	413	2.1%
OTROS GRANELEROS	167	0.8%
PRODUCTOS QUÍMICOS	160	0.8%
MERCANT. CONVENCIONAL	130	0.7%
Other values (15)	288	1.5%

Frequencies of value counts

Unique

Unique	1 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	25
Median length	25
Mean length	25
Min length	25

buque_def
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	155.0 KiB

contenedor	11780
ropax	4375
roro	2610
crucero	598
otros	482

Frequencies
Length

Value	Count	Frequency (%)
contenedor	11780	59.4%
ropax	4375	22.0%
roro	2610	13.2%
crucero	598	3.0%
otros	482	2.4%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	10
Median length	10
Mean length	7.896749811
Min length	4

terminal
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	155.0 KiB

csp	6179
apm	3670
balea_otros	3030
msc	2483
vte	2340
Other values (2)	2143

Frequencies
Length

Value	Count	Frequency (%)
csp	6179	31.1%
apm	3670	18.5%
balea_otros	3030	15.3%
msc	2483	12.5%
vte	2340	11.8%
trasme_cru	1935	9.8%
ampli_norte	208	1.0%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	11
Median length	3
Mean length	4.987855883
Min length	3

Muelle Atraque Real
Categorical

HIGH CORRELATION

Distinct	25
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	155.0 KiB

PRINCIPE FELIPE	5257
TRANSVERSAL COSTA	2483
DIQUE DEL ESTE	1488
ESP.TUR.SUR-1	1340
LEVANTE 1	1235
Other values (20)	8042

Frequencies
Length

Common Values
Overview

Value	Count	Frequency (%)
PRINCIPE FELIPE	5257	26.5%
TRANSVERSAL COSTA	2483	12.5%
DIQUE DEL ESTE	1488	7.5%
ESP.TUR.SUR-1	1340	6.8%
LEVANTE 1	1235	6.2%
TRANSVERSALES	1054	5.3%
TURIA	1019	5.1%
LEVANTE 4	855	4.3%
PONIENTE-1	783	3.9%
LLOVERA	681	3.4%
Other values (15)	3650	18.4%

Frequencies of value counts

Unique

Unique	1 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Num. Atraque
Real number (ℝ_≥0)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.226404636
Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Memory size	155.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	8
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5408044566
Coefficient of variation (CV)	0.4409673943
Kurtosis	11.44298686
Mean	1.226404636
Median Absolute Deviation (MAD)	0
Skewness	2.950783778
Sum	24338
Variance	0.2924694603
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	16261	81.9%
2	2875	14.5%
3	552	2.8%
4	123	0.6%
5	27	0.1%
6	6	< 0.1%
8	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	16261	81.9%
2	2875	14.5%
3	552	2.8%
4	123	0.6%
5	27	0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
6	6	< 0.1%
5	27	0.1%
4	123	0.6%
3	552	2.8%

FH. Amarre Calc
Date

Distinct	19126
Distinct (%)	96.4%
Missing	0
Missing (%)	0.0%
Memory size	155.0 KiB

Minimum	2017-01-01 14:30:00
Maximum	2019-12-13 00:30:00

Histogram

Histogram with fixed size bins (bins=50)

FH. Desamarre Calc
Date

Distinct	19324
Distinct (%)	97.4%
Missing	0
Missing (%)	0.0%
Memory size	155.0 KiB

Minimum	2017-01-02 14:00:00
Maximum	2019-12-13 10:05:00

Histogram

Histogram with fixed size bins (bins=50)

Amarre calculado (horas)
Real number (ℝ_≥0)

Distinct	1532
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	17.56083312
Minimum	0.1666666667
Maximum	438.3333333
Zeros	0
Zeros (%)	0.0%
Memory size	155.0 KiB

Quantile statistics

Minimum	0.1666666667
5-th percentile	2.5
Q1	8.083333333
median	14.5
Q3	22.41666667
95-th percentile	39.58333333
Maximum	438.3333333
Range	438.1666667
Interquartile range (IQR)	14.33333333

Descriptive statistics

Standard deviation	18.57789478
Coefficient of variation (CV)	1.057916481
Kurtosis	78.68603863
Mean	17.56083312
Median Absolute Deviation (MAD)	7
Skewness	6.683930839
Sum	348494.7333
Variance	345.1381744
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.5	268	1.4%
3.583333333	245	1.2%
3.333333333	206	1.0%
3.416666667	189	1.0%
3.75	132	0.7%
3.416666667	127	0.6%
3.166666667	116	0.6%
3.666666667	111	0.6%
15	85	0.4%
2.083333333	80	0.4%
Other values (1522)	18286	92.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.1666666667	1	< 0.1%
0.2500000001	1	< 0.1%
0.4166666666	1	< 0.1%
0.4166666668	1	< 0.1%
0.4999999999	1	< 0.1%

Value	Count	Frequency (%)
438.3333333	1	< 0.1%
366.1666667	1	< 0.1%
334.3333333	1	< 0.1%
322.25	1	< 0.1%
314.0833333	1	< 0.1%

Potencia
Real number (ℝ_≥0)

Distinct	652
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	26387.19048
Minimum	1
Maximum	88200
Zeros	0
Zeros (%)	0.0%
Memory size	155.0 KiB

Quantile statistics

Minimum	1
5-th percentile	5300
Q1	11060
median	21600
Q3	36560
95-th percentile	68520
Maximum	88200
Range	88199
Interquartile range (IQR)	25500

Descriptive statistics

Standard deviation	18798.00976
Coefficient of variation (CV)	0.7123914832
Kurtosis	0.007637946613
Mean	26387.19048
Median Absolute Deviation (MAD)	11611
Skewness	0.9958624521
Sum	523653795
Variance	353365170.9
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25200	1620	8.2%
9730	1166	5.9%
21600	848	4.3%
20070	837	4.2%
5300	589	3.0%
18900	455	2.3%
47430	417	2.1%
19124	405	2.0%
25204	378	1.9%
72240	360	1.8%
Other values (642)	12770	64.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	< 0.1%
600	1	< 0.1%
816	2	< 0.1%
850	1	< 0.1%
914	1	< 0.1%

Value	Count	Frequency (%)
88200	1	< 0.1%
80905	1	< 0.1%
80080	3	< 0.1%
75624	3	< 0.1%
75600	23	0.1%

Det. G.T. Buque
Real number (ℝ_≥0)

Distinct	974
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	38622.5618
Minimum	682
Maximum	228081
Zeros	0
Zeros (%)	0.0%
Memory size	155.0 KiB

Quantile statistics

Minimum	682
5-th percentile	6362
Q1	16686
median	26375
Q3	51714
95-th percentile	107849
Maximum	228081
Range	227399
Interquartile range (IQR)	35028

Descriptive statistics

Standard deviation	34654.76469
Coefficient of variation (CV)	0.897267376
Kurtosis	2.599216663
Mean	38622.5618
Median Absolute Deviation (MAD)	15829
Skewness	1.65303246
Sum	766464739
Variance	1200952715
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26375	828	4.2%
25518	807	4.1%
16686	756	3.8%
9957	715	3.6%
6362	589	3.0%
24409	455	2.3%
18345	405	2.0%
32647	404	2.0%
17505	378	1.9%
32645	332	1.7%
Other values (964)	14176	71.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
682	2	< 0.1%
693	8	< 0.1%
723	1	< 0.1%
998	1	< 0.1%
1189	1	< 0.1%

Value	Count	Frequency (%)
228081	1	< 0.1%
194849	4	< 0.1%
194308	7	< 0.1%
194250	7	< 0.1%
193489	4	< 0.1%

Potencia_kW
Real number (ℝ_≥0)

Distinct	663
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1085.052452
Minimum	0.13
Maximum	15317.03
Zeros	0
Zeros (%)	0.0%
Memory size	155.0 KiB

Quantile statistics

Minimum	0.13
5-th percentile	313.3967749
Q1	534.3892842
median	750
Q3	1187.463743
95-th percentile	1924.102411
Maximum	15317.03
Range	15316.9
Interquartile range (IQR)	653.0744585

Descriptive statistics

Standard deviation	1408.84444
Coefficient of variation (CV)	1.298411369
Kurtosis	40.39590071
Mean	1085.052452
Median Absolute Deviation (MAD)	436.6032251
Skewness	5.837692867
Sum	21532865.91
Variance	1984842.655
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
313.3967749	4058	20.4%
800	2246	11.3%
750	1518	7.6%
1650.294773	1365	6.9%
768.0773751	1332	6.7%
1844.256541	1263	6.4%
534.3892842	1187	6.0%
1187.463743	1086	5.5%
700	1079	5.4%
1679.538758	1041	5.2%
Other values (653)	3670	18.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.13	3	< 0.1%
132.6	2	< 0.1%
145.53	1	< 0.1%
156	1	< 0.1%
163.8	1	< 0.1%

Value	Count	Frequency (%)
15317.03	15	0.1%
13760	1	< 0.1%
13622.4	5	< 0.1%
13409.55	15	0.1%
13318.2	1	< 0.1%

Manoeuvring
Real number (ℝ_≥0)

Distinct	710
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7955.391578
Minimum	0.35
Maximum	26294.125
Zeros	0
Zeros (%)	0.0%
Memory size	155.0 KiB

Quantile statistics

Minimum	0.35
5-th percentile	1722.5
Q1	3534.08
median	5644.8
Q3	11882
95-th percentile	22268.675
Maximum	26294.125
Range	26293.775
Interquartile range (IQR)	8347.92

Descriptive statistics

Standard deviation	6132.608143
Coefficient of variation (CV)	0.7708744546
Kurtosis	0.08888164541
Mean	7955.391578
Median Absolute Deviation (MAD)	2482.55
Skewness	1.120130843
Sum	157874745.9
Variance	37608882.64
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5644.8	1620	8.2%
3162.25	1166	5.9%
4838.4	848	4.3%
6422.4	837	4.2%
1722.5	589	3.0%
4233.6	455	2.3%
15414.75	417	2.1%
4283.776	405	2.0%
8065.28	378	1.9%
23478	360	1.8%
Other values (700)	12770	64.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.35	3	< 0.1%
195	1	< 0.1%
227.136	1	< 0.1%
237.44	8	< 0.1%
265.2	2	< 0.1%

Value	Count	Frequency (%)
26294.125	1	< 0.1%
26026	3	< 0.1%
24297	20	0.1%
23478	360	1.8%
23477.675	12	0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	Año Servicio	Id.Escala	Clave Lloyd o Num. OMI	Buque	Tipo Buque	buque_def	terminal	Muelle Atraque Real	Num. Atraque	FH. Amarre Calc	FH. Desamarre Calc	Amarre calculado (horas)	Potencia	Det. G.T. Buque	Potencia_kW	Manoeuvring
0	2017	1 2016 6487	9356309	CMA CGM HYDRA	PORTACONTENEDOR	contenedor	apm	LLOVERA	1	2017-01-01 22:30:00	2017-01-03 13:30:00	39.000000	72240.0	128600.0	1924.1	23478
1	2017	1 2016 6632	9509138	FLEUR N	PORTACONTENEDOR	contenedor	apm	LEVANTE 1	1	2017-01-02 00:35:00	2017-01-03 20:00:00	43.416667	25040.0	35887.0	768.077	8138
2	2017	1 2016 6635	9449118	MARTHA SCHULTE	PORTACONTENEDOR	contenedor	apm	LEVANTE 3	1	2017-01-01 17:50:00	2017-01-02 23:10:00	29.333333	31990.0	38364.0	1187.46	10396.8
3	2017	1 2016 6674	9230490	MSC LORETTA	PORTACONTENEDOR	contenedor	csp	PRINCIPE FELIPE	1	2017-01-02 06:10:00	2017-01-03 10:35:00	28.416667	57075.0	73819.0	1844.26	18549.4
4	2017	1 2016 6681	9007817	MSC NAMIBIA II	PORTACONTENEDOR	contenedor	csp	PRINCIPE FELIPE	1	2017-01-04 14:30:00	2017-01-05 16:20:00	25.833333	13120.0	23953.0	534.389	4264
5	2017	1 2016 6692	9354466	HELMUT	POLIV. GENERAL CONTENEDOR	contenedor	csp	PRINCIPE FELIPE	2	2017-01-01 16:30:00	2017-01-03 01:25:00	32.916667	8399.0	9981.0	313.397	2729.68
6	2017	1 2016 6693	9326964	PASSAT	PORTACONTENEDOR	contenedor	apm	LEVANTE 3	2	2017-01-11 11:50:00	2017-01-12 00:35:00	12.750000	8399.0	9990.0	313.397	2729.68
7	2017	1 2016 6693	9326964	PASSAT	PORTACONTENEDOR	contenedor	csp	PRINCIPE FELIPE	3	2017-01-10 20:25:00	2017-01-11 10:55:00	14.500000	8399.0	9990.0	313.397	2729.68
8	2017	1 2016 6699	9290567	MSC BRUXELLES	PORTACONTENEDOR	contenedor	csp	PRINCIPE FELIPE	1	2017-01-01 21:00:00	2017-01-03 14:10:00	41.166667	68520.0	107849.0	1679.54	22269
9	2017	1 2016 6704	9321471	YANKI A	PORTACONTENEDOR	contenedor	apm	LEVANTE 3	1	2017-01-04 06:00:00	2017-01-05 01:25:00	19.416667	21770.0	27915.0	768.077	7075.25

Last rows

	Año Servicio	Id.Escala	Clave Lloyd o Num. OMI	Buque	Tipo Buque	buque_def	terminal	Muelle Atraque Real	Num. Atraque	FH. Amarre Calc	FH. Desamarre Calc	Amarre calculado (horas)	Potencia	Det. G.T. Buque	Potencia_kW	Manoeuvring
19835	2019	1 2019 6399	9673666	VIOLETA B	PORTACONTENEDOR	contenedor	csp	M. ESTE (PRINCIPE FELIPE)	1	2019-12-11 02:25:00	2019-12-11 17:05:00	14.666667	12200.0	18826.0	534.389	3965
19836	2019	1 2019 6412	9498743	HEDY LAMARR	FERRYS RO/RO PASAJEROS	ropax	balea_otros	TURIA	1	2019-12-07 19:10:00	2019-12-08 22:05:00	26.916667	21600.0	26375.0	629.721	4838.4
19837	2019	1 2019 6413	9498743	HEDY LAMARR	FERRYS RO/RO PASAJEROS	ropax	balea_otros	TURIA	1	2019-12-09 19:05:00	2019-12-09 22:10:00	3.083333	21600.0	26375.0	800	4838.4
19838	2019	1 2019 6414	9435844	LEON	BUQUE TANQUE/MG	otros	balea_otros	ESP.TUR.SUR-2	1	2019-12-06 00:05:00	2019-12-10 01:10:00	97.083333	3399.0	2997.0	1291.62	1189.65
19839	2019	1 2019 6416	9498743	HEDY LAMARR	FERRYS RO/RO PASAJEROS	ropax	balea_otros	TURIA	1	2019-12-10 19:05:00	2019-12-10 22:10:00	3.083333	21600.0	26375.0	800	4838.4
19840	2019	1 2019 6424	9237644	CIUDAD DE CEUTA	FERRYS RO/RO PASAJEROS	ropax	trasme_cru	TRANSVERSALES	1	2019-12-05 23:35:00	2019-12-06 00:10:00	0.583333	28320.0	6554.0	750	6343.68
19841	2019	1 2019 6430	9232656	CHARLIE	PORTACONTENEDOR	contenedor	csp	M. ESTE (PRINCIPE FELIPE)	1	2019-12-07 20:00:00	2019-12-08 20:05:00	24.083333	13328.0	16661.0	534.389	4331.6
19842	2019	1 2019 6432	9326990	ANALENA	PORTACONTENEDOR	contenedor	csp	PRINCIPE FELIPE	1	2019-12-09 09:10:00	2019-12-11 03:05:00	41.916667	8399.0	9990.0	313.397	2729.68
19843	2019	1 2019 6462	9137997	ROSALIND FRANKLIN	FERRYS RO/RO PASAJEROS	ropax	balea_otros	TURIA	1	2019-12-11 19:40:00	2019-12-11 22:25:00	2.750000	23040.0	33958.0	800	5160.96
19844	2019	1 2019 6484	9498743	HEDY LAMARR	FERRYS RO/RO PASAJEROS	ropax	balea_otros	TURIA	1	2019-12-12 19:10:00	2019-12-12 22:25:00	3.250000	21600.0	26375.0	800	4838.4

Most frequent

	Año Servicio	Id.Escala	Clave Lloyd o Num. OMI	Buque	Tipo Buque	buque_def	terminal	Muelle Atraque Real	Num. Atraque	FH. Amarre Calc	FH. Desamarre Calc	Amarre calculado (horas)	Potencia	Det. G.T. Buque	Potencia_kW	Manoeuvring	count
0	2017	1 2017 3343	9498743	VISEMAR ONE	FERRYS RO/RO PASAJEROS	ropax	balea_otros	TURIA	1	2017-06-23 18:45:00	2017-06-23 22:30:00	3.75	21600.0	26375.0	800.0	4838.4	2

Overview

Variables

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent